Search Results for "classification" - Page 16
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Showing 642 open source projects for "classification"
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This program presents `DIABDIAG', helps to classify the patients with diabetes of T2DM in two types, who are asymptomatic and symptomatic. DIABDIAG uses the principle of Diagnosis Algorithm to sort patients asymptomatic and symptomatic. The classification of two types is used main and sub-main factors that can help to decide under which type the patients should be. DIABDIAG uses as I mention Diagnosis Algorithm by asking users to enter and answer some question then it gives them the result of classifying with advice.
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JCLTP
A Java Class Library for Text Processing
...JCLTP is distributed under the GNU license. It incorporates several technologies that enable process information while applying AI techniques, in order to build predictive models for text classification. Through a flexible structure of interfaces and classes, the opportunity to extend, adapt and add functionality JCLTP is provided. Thus, analysis of new types of information is much easier and intuitive. The researcher can use the class library by adding it to his project or direct through specific commands created for these cases. ... -
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EpiMINE
program for mining epigenomic data
EpiMINE is a program designed for mining epigenomic data. This application performs genome wide based quantitative and correlative analysis between different annotated or raw chip-seq like datasets in the regions of interest (RI). Apart from this the tool takes the advantage in linking results with expression data. It is available both in graphical user interface and in command line form. It can be executed in Mac and Linux platforms. Dependencies: python >= 2.7 version python... -
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Python Machine Learning book
The book code repository and info resource
What you can expect are 400 pages rich in useful material just about everything you need to know to get started with machine learning. From theory to the actual code that you can directly put into action! This is not yet just another "this is how scikit-learn works" book. I aim to explain all the underlying concepts, tell you everything you need to know in terms of best practices and caveats, and we will put those concepts into action mainly using NumPy, scikit-learn, and Theano. This is not... -
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Random Bits Regression
Random Bits Regression is a strong general predictor.
We proposed an accurate, robust and fast general predictor (RBR) for regression and classification in big data era. The application of this method is very broad, from science to industry, finance and health. The accuracy and robustness improvement of our method over existing method could bring huge benefits in some critical applications. For example, natural disaster prediction, stock price prediction, personal/population disease prediction. -
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Statuspage
A statuspage generator that lets you host your statuspage for free
Statuspage is an open-source status page generator that enables teams to publish service health dashboards directly from GitHub infrastructure. The tool automatically converts GitHub issues into incident reports and uses labels to represent severity levels, allowing teams to manage incident communication through familiar workflows. It is designed to be hosted for free on GitHub Pages, making it especially attractive for startups and open-source projects that want transparent uptime... -
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FOCUS2
FOCUS2: agile metagenomic classificication using reduced DB
Summary: Metagenomics approaches rely on identifying the presence of organisms in the microbial community from a set of unknown DNA sequences. Sequence classification has valuable applications in multiple important areas of medical and environmental research. Here we introduce FOCUS2, an update of the previously published computational method FOCUS. FOCUS2 was tested with 10 simulated and 543 real metagenomes demonstrating that the program is more sensitive, faster, and more computationally efficient than existing methods -
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GUI Ant-Miner is a tool for extracting classification rules from data. It is an updated version of a data mining algorithm called Ant-Miner (Ant Colony-based Data Miner).
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ReLiS
Tool for conducting systematic literature reviews and studies
...ReLiS is a tool that helps him considerably reduce the effort to analyze the corpus of papers, typically varying between hunderds and thousands depending on the research topic. ReLiS allows the user to follow a systematic process and automate the classification of papers as much as possible during the literature study. -
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CDSS for Allergy-Diagnosis
A clinical Decision Support System for Diagnosis of Allergic Rhinitis
A Clinical Decision Support System (CDSS) can be used for diagnosing allergic disorders. CDSS with rule based classification approaches, aid junior doctors and clinicians to diagnose and make reliable decisions. The results of an intradermal skin test is the input to the CDSS. The System predicts the presence or absence of ALLERGIC RHINITIS. The system is tailored to suit to the common allergens (inhalents and ingestants) prevalent in Chennai, South India. -
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Kromophone
A color sonification device for navigation and classification
The Kromophone is a color-to-sound sensory substitution device. It was designed with the tasks of navigation, object, and environmental navigation in mind. -
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GMaVis: A DSL for Geo-Visualization
It is a domain-specific language for large data geo-visualizations
GMaVis is an external domain-specific language (DSL) that facilitates the creation of visualization of geospatial information by using multi-core architectures to process data in parallel. Its compiler abstracts complexities from the whole visualization creation process, even in the data pre-processing phase. Also, it allows domain users with low-level knowledge in computer programming to create these visualizations through a high-level description language. These users can easily do it with... -
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Disassembly Planning Ontology
Disassembly planning ontology
...This work focuses on the modeling of the disassembly planning related information, and develops a Disassembly Information Model (DIM) based on an extensive investigation of various informational aspects of the disassembly planning. The developed Disassembly Information Model, which represents an appropriate systematization and classification of the products, processes, uncertainties and degradations related information, follows a layered modeling methodology. In this layered configuration, the DIM is subdivided into three distinct layers with an intent to separate general knowledge into different levels of abstractions, and to reach a balance between information reusability and information usability. -
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sgmweka
Weka wrapper for the SGM toolkit for text classification and modeling.
Weka wrapper for the SGM toolkit for text classification and modeling. Provides Sparse Generative Models for scalable and accurate text classification and modeling for use in high-speed and large-scale text mining. Has lower time complexity of classification than comparable software due to inference based on sparse model representation and use of an inverted index. The provided .zip file is in the Weka package format, giving access to text classification. ... -
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Speechalyzer
Process large speech data wrt transcription, labeling and annotation
Speechalyzer: a tool for the daily work of a 'speech worker' It is optimized to process large speech data sets with respect to transcription, labeling and annotation. It is implemented as a client server based framework in Java and interfaces software for speech recognition, synthesis, speech classification and quality evaluation. The application is mainly the processing of training data for speech recognition and classification models and performing benchmarking tests on speech-to-text, text-to-speech and speech classification software systems. -
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A machine learning-based method for somatic variant identification from low-pass next-generation sequencing.
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MCCCS
Multi Channel Classification and Clustering
Here we present an image-based Multi Channel Classification and Clustering System (MCCCS). It is an generalized, script-based classification system for processing various kinds of image data. Due to the modular design, individual processing-components can be easily adapted, extended or exchanged by own extensions. See project website for installation instructions. -
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GA-EoC
GeneticAlgorithm-based search for Heterogeneous Ensemble Combinations
...The classification performances achieved by the proposed method method on the chosen datasets are promising. -
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BPL
Bayesian Program Learning model for one-shot learning
...The approach treats each concept (e.g. a character) as being generated by a probabilistic program (motor primitives, strokes, spatial relationships), and inference proceeds by fitting those generative programs to a single example, generalizing to new examples, and generating new exemplars. The repository contains code for parsing stroke sequences, fitting motor programs, exemplar generation, classification, re-fitting, and demonstration scripts. -
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Genetic Programming Classifier is a distributed evolutionary data classification program. It uses the ensemble method implemented under a parallel co-evolutionary Genetic Programming technique.
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International System Automation2
A logic of System Improve Automation
[1]Automatic definition of database by message exchange [2]Automatic workflow definition by analyzing messages [3]Automatic calculation of the number of points of view [4]Automatic database generation without start-points of classification [5]Prediction of the velocity of generation and annihilation of classification [6]Dynamic optimization of usability by analyzing log [7]No wait system by analyzing log -
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PSGMiner a novel software which has been developed to carry out feature extraction in order that robust analysis and classification of various sleep diseases can be performed using polysomnographic data.The software is composed of different modules: The database, feature extraction, annotation,artifact and machine learning modules. for cite İlhan Umut, PSGMiner: A modular software for polysomnographic analysis, Computers in Biology and Medicine, Volume 73, 1 June 2016, Pages 1-9, ISSN 0010-4825, http://dx.doi.org/10.1016/j.compbiomed.2016.03.023. ...
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Scene is a computer vision framework that performs background subtraction and object tracking, using two traditional algorithms and three more recent algorithms based on neural networks and fuzzy classification rules. For each detected object, Scene sends TUIO messages to one or several client applications. The present release features GPU accelerated versions of all the background subtraction methods and morphological post processing of the object blobs with dilation and erosion filters, implemented in OpenCL. The framework was mainly designed as a toolkit for the rapid development of interactive art projects that explore dynamics of complex environments. ...
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MORPHE
MORphological PHenotype Extraction
MORphological PHenotype Extraction (MORPHE) is a suite of automated image processing, visualization, and classification algorithms to facilitate the analysis of heritable and clonal red-to-green transitions that occurred during the growth of a colony.
